Plot outlying sessions

Usage

plot_outliers(
  sessions,
  start = getOption("evprof.start.hour"),
  log = FALSE,
  ...
)

Arguments

sessions: tibble, sessions data set in evprof standard format.
start: integer, start hour in the x axis of the plot.
log: logical, whether to transform ConnectionStartDateTime and ConnectionHours variables to natural logarithmic scale (base = exp(1)).
...: arguments to pass to function ggplot2::plot_point

Value

ggplot2 plot

Examples

library(dplyr)
sessions_outliers <- california_ev_sessions %>%
  sample_frac(0.05) %>%
  detect_outliers(start = 3, noise_th = 5, eps = 2.5)
#> Trying with MinPts = 200 and eps = 2.5
#> Too much nosie (7.3 %). Consider a higher eps.
#> Trying with MinPts = 200 and eps = 3.75
#> Solution found: MinPts= 200 , eps = 2.594
plot_outliers(sessions_outliers, start = 3)

plot_outliers(sessions_outliers, start = 3, log = TRUE)